Shang-Ming Zhou, John Q. Can, Li-Da Xu and Robert John. Interactive Image Enhancement by Fuzzy Relaxation. International Journal of Automation and Computing, vol. 4, no. 3, pp. 229-235, 2007. DOI: 10.1007/s11633-007-0229-7
Citation: Shang-Ming Zhou, John Q. Can, Li-Da Xu and Robert John. Interactive Image Enhancement by Fuzzy Relaxation. International Journal of Automation and Computing, vol. 4, no. 3, pp. 229-235, 2007. DOI: 10.1007/s11633-007-0229-7

Interactive Image Enhancement by Fuzzy Relaxation

  • In this paper,an interactive image enhancement(IIE)technique based on fuzzy relaxation is presented,which allows the user to select different intensity levels for enhancement and intermit the enhancement process according to his/her preference in applications.First,based on an analysis of the convergence of a fuzzy relaxation algorithm for image contrast enhancement,an improved version of this algorithm,which is called FuzzIIE Method 1,is suggested by deriving a relationship between the convergence regions and the parameters in the transformations defined in the algorithm.Then a method called FuzzIIE Method 2 is introduced by using a different fuzzy relaxation function,in which there is no need to re-select the parameter values for interactive image enhancement. Experimental results are presented demonstrating the enhancement capabilities of the proposed methods under different conditions.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return